Practical_RL
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow
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| Practical_RL | YPDL-Build-a-movie-recommendation-engine-with-TensorFlow | |
|---|---|---|
| 2 | 1 | |
| 5,709 | 8 | |
| 1.1% | - | |
| 6.5 | 0.0 | |
| 15 days ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| The Unlicense | Apache License 2.0 |
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Practical_RL
- [D] implementation of MCTS in Python
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Alternatives to OpenAI’s spinning up?
there is this great github repo where there are lectures and other resources, and have a week by week jupyter notebooks where they explain and code with homeworks at the very end of it. is basics and deepRL, but just dqn and DDPG/ppo but i think will give you good start in the topic for later star working on your own.
YPDL-Build-a-movie-recommendation-engine-with-TensorFlow
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Your Path to Deep Learning
Workshop 4 Resources
What are some alternatives?
webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
FunMatch-Distillation - TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.
garrascobike-core - Core of the Garrascobike project
awesome-rl - Reinforcement learning resources curated
Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards
YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras - Build a recurrent neural network using TensorFlow and Keras.
redisai-examples - RedisAI showcase
YourPathToDeepLearning - Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.